Abstract
The shape synthesis of a linear actuator and a permanent-magnet motor is revisited in terms of multiobjective optimisation using Pareto criterion of optimality. Best-compromise solutions are approximated by means of sampleand-rank method. The two case studies are proposed as model problems for inverse electromechanics.
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References
K. Miettinen: Non-linear Multiobjective Optimization. Kluwer Academic Publishers, 1999.
C.A. Coello Coello, D.A. van Veldhuizen and G.B. Lamont: Evolutionary Algorithms for Solving Multi-Objective Problems. Kluwer Academic Publishers, 2002.
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E. Costamagna, P. Di Barba and A. Savini: Numerical Schwarz-Christoffel Transformations for the Optimal Shape Design of a Permanent Magnet Motor. In: Electromagnetic Fields in Electrical Engineering - ISEF01. IOS Press, 2002, pp. 3943.
P. Di Barba: “A fast evolutionary method for identifying non-inferior solutions in multicriteria shape optimization of a shielded reactor”, COMPEL, Vol.20, No. 3, 2001, pp. 762–776, 2001.
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© 2003 Springer Science+Business Media Dordrecht
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Di Barba, P. (2003). Multiobjective Shape Design in Electromechanics: An Approach Towards Benchmarking. In: Rudnicki, M., Wiak, S. (eds) Optimization and Inverse Problems in Electromagnetism. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-2494-4_6
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DOI: https://doi.org/10.1007/978-94-017-2494-4_6
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-6375-5
Online ISBN: 978-94-017-2494-4
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